Energy Storage Data Science Leader

Job Summary

Leading innovative machine learning initiatives, the full-time remote Energy Storage Data Science Leader will develop and implement predictive models for energy trading, focusing on optimization and automation in the renewable energy sector.

Key responsibilities:

• Develop and implement machine learning optimization and predictive models using AWS Sagemaker for energy trading markets
• Create and automate time series forecasting models utilizing deep learning and reinforcement learning techniques
• Oversee machine learning operations programs, ensuring performance monitoring and process streamlining

Required qualifications:

• 8-10+ years of machine learning software engineering experience, with at least 2 years in leadership roles
• Expertise in machine learning model deployment and MLOps within agile development environments
• Proficiency in Python-based optimization toolkits such as Pyomo and CVXPY
• Strong understanding of machine learning concepts, including deep learning and reinforcement learning
• Experience with AWS Sagemaker and solid knowledge of time-series forecasting techniques